Creator · a5c-ai
Last updated · Sep 2, 2026
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
Creator · a5c-ai
Last updated · Sep 2, 2026
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
Creator · a5c-ai
Last updated · Sep 2, 2026
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
Creator · a5c-ai
Last updated · Sep 2, 2026
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
Sandbox only
Install targets
Codex install prompt
Install the "process-builder" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"a5c-ai-process-builder","task":"Install process-builder","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill process-builder
Maintenance
fresh
5d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
1.8K
79/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill process-builder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add a5c-ai/babysitter --skill process-builderDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
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Open JSON
/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/a5c-ai-process-builder/install
Agent should check
Copy prompt
Task: Use process-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install
Install command: npx skills add a5c-ai/babysitter --skill process-builder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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/api/skills/a5c-ai-process-builder/install
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/api/skills/a5c-ai-process-builder/install?format=text
Find alternatives
/api/skills/search?q=process-builder&limit=3
Agent prompt
Use process-builder for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install, then install with: npx skills add a5c-ai/babysitter --skill process-builderRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/a5c-ai-process-builder
LLM text
/api/registry/manifest/a5c-ai-process-builder?format=text
Install alias
/api/registry/install/a5c-ai-process-builder
Recommend
/api/registry/recommend?task=Use%20process-builder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: process-builder description: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. ---
# Process Builder
Create new process definitions for the babysitter event-sourced orchestration framework.
## Quick Reference
``` Processes live in: library/ ├── methodologies/ # Reusable development approaches (TDD, BDD, Scrum, etc.) │ └── [name]/ │ ├── README.md # Documentation │ ├── [name].js # Main process │ └── examples/ # Sample inputs │ └── specializations/ # Domain-specific processes ├── [category]/ # Engineering specializations (direct children) │ └── [process].js └── domains/ └── [domain]/ # Business, Science, Social Sciences └── [spec]/ ├── README.md ├── references.md ├── processes-backlog.md └── [process].js ```
## 3-Phase Workflow
### Phase 1: Research & Documentation
Create foundational documentation:
```bash # Check existing specializations ls library/specializations/
# Check methodologies ls library/methodologies/ ```
**Create:** - `README.md` - Overview, roles, goals, use cases, common flows - `references.md` - External references, best practices, links to sources
### Phase 2: Identify Processes
Create `processes-backlog.md` with identified processes:
```markdown # Processes Backlog - [Specialization Name]
## Identified Processes
- [ ] **process-name** - Short description of what this process accomplishes - Reference: [Link to methodology or standard] - Inputs: list key inputs - Outputs: list key outputs
- [ ] **another-process** - Description ... ```
### Phase 3: Create Process Files
Create `.js` process files following SDK patterns (see below).
---
## Process File Structure
Every process file follows this pattern:
```javascript /** * @process [category]/[process-name] * @description Clear description of what the process accomplishes end-to-end * @inputs { inputName: type, optionalInput?: type } * @outputs { success: boolean, outputName: type, artifacts: array } * * @graph * domains: [domain:software-engineering] * skillAreas: [skill-area:your-skill-area] * topics: [topic:your-topic] * roles: [role:your-role] * workflows: [workflow:your-workflow] * * @example * const result = await orchestrate('[category]/[process-name]', { * inputName: 'value', * optionalInput: 'optional-value' * }); * * @references * - Book: "Relevant Book Title" by Author * - Article: [Title](https://link) * - Standard: ISO/IEEE reference */
import { defineTask } from '@a5c-ai/babysitter-sdk';
/** * [Process Name] Process * * Methodology: Brief description of the approach * * Phases: * 1. Phase Name - What happens * 2. Phase Name - What happens * ... * * Benefits: * - Benefit 1 * - Benefit 2 * * @param {Object} inputs - Process inputs * @param {string} inputs.inputName - Description of input * @param {Object} ctx - Process context (see SDK) * @returns {Promise<Object>} Process result */ export async function process(inputs, ctx) { const { inputName, optionalInput = 'default-value', // ... destructure with defaults } = inputs;
const artifacts = [];
// ============================================================================ // PHASE 1: [PHASE NAME] // ============================================================================
ctx.log?.('info', 'Starting Phase 1...');
const phase1Result = await ctx.task(someTask, { // task inputs });
artifacts.push(...(phase1Result.artifacts || []));
// Breakpoint for human review (when needed) await ctx.breakpoint({ question: 'Review the results and approve to continue?', title: 'Phase 1 Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/output.md', format: 'markdown', label: 'Output' } ] } });
// ============================================================================ // PHASE 2: [PHASE NAME] - Parallel Execution Example // ============================================================================
const [result1, result2, result3] = await ctx.parallel.all([ () => ctx.task(task1, { /* args */ }), () => ctx.task(task2, { /* args */ }), () => ctx.task(task3, { /* args */ }) ]);
// ============================================================================ // PHASE 3: [ITERATION EXAMPLE] // ============================================================================
let iteration = 0; let targetMet = false;
while (!targetMet && iteration < maxIterations) { iteration++;
const iterResult = await ctx.task(iterativeTask, { iteration, previousResults: /* ... */ });
targetMet = iterResult.meetsTarget;
if (!targetMet && iteration % 3 === 0) { // Periodic checkpoint await ctx.breakpoint({ question: `Iteration ${iteration}: Target not met. Continue?`, title: 'Progress Checkpoint', context: { /* ... */ } }); } }
// ============================================================================ // COMPLETION // ============================================================================
return { success: targetMet, iterations: iteration, artifacts, // ... other outputs matching @outputs }; }
// ============================================================================ // TASK DEFINITIONS // ============================================================================
/** * Task: [Task Name] * Purpose: What this task accomplishes */ const someTask = defineTask({ name: 'task-name', description: 'What this task does',
// Task definition - executed externally by orchestrator // This returns a TaskDef that describes HOW to run the task
inputs: { inputName: { type: 'string', required: true }, optionalInput: { type: 'number', default: 10 } },
outputs: { result: { type: 'object' }, artifacts: { type: 'array' } },
async run(inputs, taskCtx) { const effectId = taskCtx.effectId;
return { kind: 'node', // or 'agent', 'skill', 'shell', 'breakpoint' title: `Task: ${inputs.inputName}`, node: { entry: 'scripts/task-runner.js', args: ['--input', inputs.inputName, '--effect-id', effectId] }, io: { inputJsonPath: `tasks/${effectId}/input.json`, outputJsonPath: `tasks/${effectId}/result.json` }, labels: ['category', 'subcategory'] }; } }); ```
---
## SDK Context API Reference
The `ctx` object provides these intrinsics:
| Method | Purpose | Behavior | |--------|---------|----------| | `ctx.task(taskDef, args, opts?)` | Execute a task | Returns result or throws typed exception | | `ctx.breakpoint(payload)` | Human approval gate | Pauses until approved via human | | `ctx.sleepUntil(isoOrEpochMs)` | Time-based gate | Pauses until specified time | | `ctx.parallel.all([...thunks])` | Parallel execution | Runs independent tasks concurrently | | `ctx.parallel.map(items, fn)` | Parallel map | Maps items through task function | | `ctx.now()` | Deterministic time | Returns current Date (or provided time) | | `ctx.log?.(level, msg, data?)` | Logging | Optional logging helper | | `ctx.runId` | Run identifier | Current run's unique ID |
### Task Kinds
| Kind | Use Case | Executor | |------|----------|----------| | `node` | Scripts, builds, tests | Node.js process | | `agent` | LLM-powered analysis, generation | Claude Code agent | | `skill` | Claude Code skills | Skill invocation | | `shell` | System commands | Shell execution | | `breakpoint` | Human approval | Breakpoints UI/service | | `sleep` | Time gates | Orchestrator scheduling | | `orchestrator_task` | Internal orchestrator work | Self-routed |
---
## Breakpoint Patterns
### Basic Approval Gate
```javascript await ctx.breakpoint({ question: 'Approve to continue?', title: 'Checkpoint', context: { runId: ctx.runId } }); ```
### With File References (for UI display)
```javascript await ctx.breakpoint({ question: 'Review the generated specification. Does it meet requirements?', title: 'Specification Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' }, { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' }, { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' } ] } }); ```
### Conditional Breakpoint
```javascript if (qualityScore < targetScore) { await ctx.breakpoint({ question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`, title: 'Quality Gate', context: { runId: ctx.runId, data: { qualityScore, targetScore, iteration } } }); } ```
---
## Common Patterns
### Quality Convergence Loop
```javascript let quality = 0; let iteration = 0; const targetQuality = inputs.targetQuality || 85; const maxIterations = inputs.maxIterations || 10;
while (quality < targetQuality && iteration < maxIterations) { iteration++; ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);
// Execute improvement tasks const improvement = await ctx.task(improveTask, { iteration });
// Score quality (parallel checks) const [coverage, lint, security, tests] = await ctx.parallel.all([ () => ctx.task(coverageTask, {}), () => ctx.task(lintTask, {}), () => ctx.task(securityTask, {}), () => ctx.task(runTestsTask, {}) ]);
// Agent scores overall quality const score = await ctx.task(agentScoringTask, { coverage, lint, security, tests, iteration });
quality = score.overall; ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);
if (quality >= targetQuality) { ctx.log?.('info', 'Quality target achieved!'); break; } }
return { success: quality >= targetQuality, quality, iterations: iteration }; ```
### Phased Workflow with Reviews
```javascript // Phase 1: Research const research = await ctx.task(researchTask, { topic: inputs.topic });
await ctx.breakpoint({ question: 'Review research findings before proceeding to planning.', title: 'Research Review', context: { runId: ctx.runId } });
// Phase 2: Planning const plan = await ctx.task(planningTask, { research });
await ctx.breakpoint({ question: 'Review plan before implementation.', title: 'Plan Review', context: { runId: ctx.runId } });
// Phase 3: Implementation const implementation = await ctx.task(implementTask, { plan });
// Phase 4: Verification const verification = await ctx.task(verifyTask, { implementation, plan });
await ctx.breakpoint({ question: 'Final review before completion.', title: 'Final Approval', context: { runId: ctx.runId } });
return { success: verification.passed, plan, implementation }; ```
### Parallel Fan-out with Aggregation
```javascript // Fan out to multiple parallel analyses const analyses = await ctx.parallel.map(components, component => ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` }) );
// Aggregate results const aggregated = await ctx.task(aggregateTask, { analyses });
return { analyses, summary: aggregated.summary }; ```
---
## Testing Processes
### CLI Commands
```bash # Create a new run babysitter run:create \ --process-id methodologies/my-process \ --entry ./library/methodologies/my-process.js#process \ --inputs ./test-inputs.json \ --json
# Iterate the run babysitter run:iterate .a5c/runs/<runId> --json
# List pending tasks babysitter task:list .a5c/runs/<runId> --pending --json
# Post a task result babysitter task:post .a5c/runs/<runId> <effectId> \ --status ok \ --value ./result.json
# Check run status babysitter ru
Source provenance
Decision snapshot
1,759 GitHub stars
Audit
Install and adoption review
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Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for process-builder, ready for a manual X post.
A practical pick for source-backed research: process-builder: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phas... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x
Listing + install path for process-builder: https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x Install: npx skills add a5c-ai/babysitter --skill process-builder
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Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
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61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "process-builder" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"a5c-ai-process-builder","task":"Install process-builder","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill process-builder
Maintenance
fresh
5d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
1.8K
79/100 Quality · 79/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.8K GitHub stars
Repo activity
1.8K stars, 103 forks
Maintenance
5d since push
License
MIT
Install
npx skills add a5c-ai/babysitter --skill process-builder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add a5c-ai/babysitter --skill process-builderDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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Resolve text
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Agent should check
Copy prompt
Task: Use process-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install
Install command: npx skills add a5c-ai/babysitter --skill process-builder
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Agent prompt
Use process-builder for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install, then install with: npx skills add a5c-ai/babysitter --skill process-builderRegistry metadata
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LLM text
/api/registry/manifest/a5c-ai-process-builder?format=text
Install alias
/api/registry/install/a5c-ai-process-builder
Recommend
/api/registry/recommend?task=Use%20process-builder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
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Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: process-builder description: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. ---
# Process Builder
Create new process definitions for the babysitter event-sourced orchestration framework.
## Quick Reference
``` Processes live in: library/ ├── methodologies/ # Reusable development approaches (TDD, BDD, Scrum, etc.) │ └── [name]/ │ ├── README.md # Documentation │ ├── [name].js # Main process │ └── examples/ # Sample inputs │ └── specializations/ # Domain-specific processes ├── [category]/ # Engineering specializations (direct children) │ └── [process].js └── domains/ └── [domain]/ # Business, Science, Social Sciences └── [spec]/ ├── README.md ├── references.md ├── processes-backlog.md └── [process].js ```
## 3-Phase Workflow
### Phase 1: Research & Documentation
Create foundational documentation:
```bash # Check existing specializations ls library/specializations/
# Check methodologies ls library/methodologies/ ```
**Create:** - `README.md` - Overview, roles, goals, use cases, common flows - `references.md` - External references, best practices, links to sources
### Phase 2: Identify Processes
Create `processes-backlog.md` with identified processes:
```markdown # Processes Backlog - [Specialization Name]
## Identified Processes
- [ ] **process-name** - Short description of what this process accomplishes - Reference: [Link to methodology or standard] - Inputs: list key inputs - Outputs: list key outputs
- [ ] **another-process** - Description ... ```
### Phase 3: Create Process Files
Create `.js` process files following SDK patterns (see below).
---
## Process File Structure
Every process file follows this pattern:
```javascript /** * @process [category]/[process-name] * @description Clear description of what the process accomplishes end-to-end * @inputs { inputName: type, optionalInput?: type } * @outputs { success: boolean, outputName: type, artifacts: array } * * @graph * domains: [domain:software-engineering] * skillAreas: [skill-area:your-skill-area] * topics: [topic:your-topic] * roles: [role:your-role] * workflows: [workflow:your-workflow] * * @example * const result = await orchestrate('[category]/[process-name]', { * inputName: 'value', * optionalInput: 'optional-value' * }); * * @references * - Book: "Relevant Book Title" by Author * - Article: [Title](https://link) * - Standard: ISO/IEEE reference */
import { defineTask } from '@a5c-ai/babysitter-sdk';
/** * [Process Name] Process * * Methodology: Brief description of the approach * * Phases: * 1. Phase Name - What happens * 2. Phase Name - What happens * ... * * Benefits: * - Benefit 1 * - Benefit 2 * * @param {Object} inputs - Process inputs * @param {string} inputs.inputName - Description of input * @param {Object} ctx - Process context (see SDK) * @returns {Promise<Object>} Process result */ export async function process(inputs, ctx) { const { inputName, optionalInput = 'default-value', // ... destructure with defaults } = inputs;
const artifacts = [];
// ============================================================================ // PHASE 1: [PHASE NAME] // ============================================================================
ctx.log?.('info', 'Starting Phase 1...');
const phase1Result = await ctx.task(someTask, { // task inputs });
artifacts.push(...(phase1Result.artifacts || []));
// Breakpoint for human review (when needed) await ctx.breakpoint({ question: 'Review the results and approve to continue?', title: 'Phase 1 Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/output.md', format: 'markdown', label: 'Output' } ] } });
// ============================================================================ // PHASE 2: [PHASE NAME] - Parallel Execution Example // ============================================================================
const [result1, result2, result3] = await ctx.parallel.all([ () => ctx.task(task1, { /* args */ }), () => ctx.task(task2, { /* args */ }), () => ctx.task(task3, { /* args */ }) ]);
// ============================================================================ // PHASE 3: [ITERATION EXAMPLE] // ============================================================================
let iteration = 0; let targetMet = false;
while (!targetMet && iteration < maxIterations) { iteration++;
const iterResult = await ctx.task(iterativeTask, { iteration, previousResults: /* ... */ });
targetMet = iterResult.meetsTarget;
if (!targetMet && iteration % 3 === 0) { // Periodic checkpoint await ctx.breakpoint({ question: `Iteration ${iteration}: Target not met. Continue?`, title: 'Progress Checkpoint', context: { /* ... */ } }); } }
// ============================================================================ // COMPLETION // ============================================================================
return { success: targetMet, iterations: iteration, artifacts, // ... other outputs matching @outputs }; }
// ============================================================================ // TASK DEFINITIONS // ============================================================================
/** * Task: [Task Name] * Purpose: What this task accomplishes */ const someTask = defineTask({ name: 'task-name', description: 'What this task does',
// Task definition - executed externally by orchestrator // This returns a TaskDef that describes HOW to run the task
inputs: { inputName: { type: 'string', required: true }, optionalInput: { type: 'number', default: 10 } },
outputs: { result: { type: 'object' }, artifacts: { type: 'array' } },
async run(inputs, taskCtx) { const effectId = taskCtx.effectId;
return { kind: 'node', // or 'agent', 'skill', 'shell', 'breakpoint' title: `Task: ${inputs.inputName}`, node: { entry: 'scripts/task-runner.js', args: ['--input', inputs.inputName, '--effect-id', effectId] }, io: { inputJsonPath: `tasks/${effectId}/input.json`, outputJsonPath: `tasks/${effectId}/result.json` }, labels: ['category', 'subcategory'] }; } }); ```
---
## SDK Context API Reference
The `ctx` object provides these intrinsics:
| Method | Purpose | Behavior | |--------|---------|----------| | `ctx.task(taskDef, args, opts?)` | Execute a task | Returns result or throws typed exception | | `ctx.breakpoint(payload)` | Human approval gate | Pauses until approved via human | | `ctx.sleepUntil(isoOrEpochMs)` | Time-based gate | Pauses until specified time | | `ctx.parallel.all([...thunks])` | Parallel execution | Runs independent tasks concurrently | | `ctx.parallel.map(items, fn)` | Parallel map | Maps items through task function | | `ctx.now()` | Deterministic time | Returns current Date (or provided time) | | `ctx.log?.(level, msg, data?)` | Logging | Optional logging helper | | `ctx.runId` | Run identifier | Current run's unique ID |
### Task Kinds
| Kind | Use Case | Executor | |------|----------|----------| | `node` | Scripts, builds, tests | Node.js process | | `agent` | LLM-powered analysis, generation | Claude Code agent | | `skill` | Claude Code skills | Skill invocation | | `shell` | System commands | Shell execution | | `breakpoint` | Human approval | Breakpoints UI/service | | `sleep` | Time gates | Orchestrator scheduling | | `orchestrator_task` | Internal orchestrator work | Self-routed |
---
## Breakpoint Patterns
### Basic Approval Gate
```javascript await ctx.breakpoint({ question: 'Approve to continue?', title: 'Checkpoint', context: { runId: ctx.runId } }); ```
### With File References (for UI display)
```javascript await ctx.breakpoint({ question: 'Review the generated specification. Does it meet requirements?', title: 'Specification Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' }, { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' }, { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' } ] } }); ```
### Conditional Breakpoint
```javascript if (qualityScore < targetScore) { await ctx.breakpoint({ question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`, title: 'Quality Gate', context: { runId: ctx.runId, data: { qualityScore, targetScore, iteration } } }); } ```
---
## Common Patterns
### Quality Convergence Loop
```javascript let quality = 0; let iteration = 0; const targetQuality = inputs.targetQuality || 85; const maxIterations = inputs.maxIterations || 10;
while (quality < targetQuality && iteration < maxIterations) { iteration++; ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);
// Execute improvement tasks const improvement = await ctx.task(improveTask, { iteration });
// Score quality (parallel checks) const [coverage, lint, security, tests] = await ctx.parallel.all([ () => ctx.task(coverageTask, {}), () => ctx.task(lintTask, {}), () => ctx.task(securityTask, {}), () => ctx.task(runTestsTask, {}) ]);
// Agent scores overall quality const score = await ctx.task(agentScoringTask, { coverage, lint, security, tests, iteration });
quality = score.overall; ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);
if (quality >= targetQuality) { ctx.log?.('info', 'Quality target achieved!'); break; } }
return { success: quality >= targetQuality, quality, iterations: iteration }; ```
### Phased Workflow with Reviews
```javascript // Phase 1: Research const research = await ctx.task(researchTask, { topic: inputs.topic });
await ctx.breakpoint({ question: 'Review research findings before proceeding to planning.', title: 'Research Review', context: { runId: ctx.runId } });
// Phase 2: Planning const plan = await ctx.task(planningTask, { research });
await ctx.breakpoint({ question: 'Review plan before implementation.', title: 'Plan Review', context: { runId: ctx.runId } });
// Phase 3: Implementation const implementation = await ctx.task(implementTask, { plan });
// Phase 4: Verification const verification = await ctx.task(verifyTask, { implementation, plan });
await ctx.breakpoint({ question: 'Final review before completion.', title: 'Final Approval', context: { runId: ctx.runId } });
return { success: verification.passed, plan, implementation }; ```
### Parallel Fan-out with Aggregation
```javascript // Fan out to multiple parallel analyses const analyses = await ctx.parallel.map(components, component => ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` }) );
// Aggregate results const aggregated = await ctx.task(aggregateTask, { analyses });
return { analyses, summary: aggregated.summary }; ```
---
## Testing Processes
### CLI Commands
```bash # Create a new run babysitter run:create \ --process-id methodologies/my-process \ --entry ./library/methodologies/my-process.js#process \ --inputs ./test-inputs.json \ --json
# Iterate the run babysitter run:iterate .a5c/runs/<runId> --json
# List pending tasks babysitter task:list .a5c/runs/<runId> --pending --json
# Post a task result babysitter task:post .a5c/runs/<runId> <effectId> \ --status ok \ --value ./result.json
# Check run status babysitter ru
Source provenance
Decision snapshot
1,759 GitHub stars
Audit
Install and adoption review
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Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for process-builder, ready for a manual X post.
A practical pick for source-backed research: process-builder: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phas... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x
Listing + install path for process-builder: https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x Install: npx skills add a5c-ai/babysitter --skill process-builder
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
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Install targets
Codex install prompt
Install the "process-builder" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"a5c-ai-process-builder","task":"Install process-builder","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add a5c-ai/babysitter --skill process-builder
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fresh
5d since push
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Needs review
Permission surface may require sandboxing
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1.8K
79/100 Quality · 79/100 Trust
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Permission surface may require sandboxing · Quality score needs review
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StrongSolid option that is likely worth shortlisting for production workflows.
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Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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Stars
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1.8K stars, 103 forks
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License
MIT
Install
npx skills add a5c-ai/babysitter --skill process-builder
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npx skills add assafelovic/gpt-researcher
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Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
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/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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Install handoff
/api/skills/a5c-ai-process-builder/install
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Task: Use process-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install
Install command: npx skills add a5c-ai/babysitter --skill process-builder
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Use process-builder for this task. Review https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install, then install with: npx skills add a5c-ai/babysitter --skill process-builderRegistry metadata
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Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.8K GitHub stars
Stars/forks activity
INFO1.8K stars, 103 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: process-builder description: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. ---
# Process Builder
Create new process definitions for the babysitter event-sourced orchestration framework.
## Quick Reference
``` Processes live in: library/ ├── methodologies/ # Reusable development approaches (TDD, BDD, Scrum, etc.) │ └── [name]/ │ ├── README.md # Documentation │ ├── [name].js # Main process │ └── examples/ # Sample inputs │ └── specializations/ # Domain-specific processes ├── [category]/ # Engineering specializations (direct children) │ └── [process].js └── domains/ └── [domain]/ # Business, Science, Social Sciences └── [spec]/ ├── README.md ├── references.md ├── processes-backlog.md └── [process].js ```
## 3-Phase Workflow
### Phase 1: Research & Documentation
Create foundational documentation:
```bash # Check existing specializations ls library/specializations/
# Check methodologies ls library/methodologies/ ```
**Create:** - `README.md` - Overview, roles, goals, use cases, common flows - `references.md` - External references, best practices, links to sources
### Phase 2: Identify Processes
Create `processes-backlog.md` with identified processes:
```markdown # Processes Backlog - [Specialization Name]
## Identified Processes
- [ ] **process-name** - Short description of what this process accomplishes - Reference: [Link to methodology or standard] - Inputs: list key inputs - Outputs: list key outputs
- [ ] **another-process** - Description ... ```
### Phase 3: Create Process Files
Create `.js` process files following SDK patterns (see below).
---
## Process File Structure
Every process file follows this pattern:
```javascript /** * @process [category]/[process-name] * @description Clear description of what the process accomplishes end-to-end * @inputs { inputName: type, optionalInput?: type } * @outputs { success: boolean, outputName: type, artifacts: array } * * @graph * domains: [domain:software-engineering] * skillAreas: [skill-area:your-skill-area] * topics: [topic:your-topic] * roles: [role:your-role] * workflows: [workflow:your-workflow] * * @example * const result = await orchestrate('[category]/[process-name]', { * inputName: 'value', * optionalInput: 'optional-value' * }); * * @references * - Book: "Relevant Book Title" by Author * - Article: [Title](https://link) * - Standard: ISO/IEEE reference */
import { defineTask } from '@a5c-ai/babysitter-sdk';
/** * [Process Name] Process * * Methodology: Brief description of the approach * * Phases: * 1. Phase Name - What happens * 2. Phase Name - What happens * ... * * Benefits: * - Benefit 1 * - Benefit 2 * * @param {Object} inputs - Process inputs * @param {string} inputs.inputName - Description of input * @param {Object} ctx - Process context (see SDK) * @returns {Promise<Object>} Process result */ export async function process(inputs, ctx) { const { inputName, optionalInput = 'default-value', // ... destructure with defaults } = inputs;
const artifacts = [];
// ============================================================================ // PHASE 1: [PHASE NAME] // ============================================================================
ctx.log?.('info', 'Starting Phase 1...');
const phase1Result = await ctx.task(someTask, { // task inputs });
artifacts.push(...(phase1Result.artifacts || []));
// Breakpoint for human review (when needed) await ctx.breakpoint({ question: 'Review the results and approve to continue?', title: 'Phase 1 Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/output.md', format: 'markdown', label: 'Output' } ] } });
// ============================================================================ // PHASE 2: [PHASE NAME] - Parallel Execution Example // ============================================================================
const [result1, result2, result3] = await ctx.parallel.all([ () => ctx.task(task1, { /* args */ }), () => ctx.task(task2, { /* args */ }), () => ctx.task(task3, { /* args */ }) ]);
// ============================================================================ // PHASE 3: [ITERATION EXAMPLE] // ============================================================================
let iteration = 0; let targetMet = false;
while (!targetMet && iteration < maxIterations) { iteration++;
const iterResult = await ctx.task(iterativeTask, { iteration, previousResults: /* ... */ });
targetMet = iterResult.meetsTarget;
if (!targetMet && iteration % 3 === 0) { // Periodic checkpoint await ctx.breakpoint({ question: `Iteration ${iteration}: Target not met. Continue?`, title: 'Progress Checkpoint', context: { /* ... */ } }); } }
// ============================================================================ // COMPLETION // ============================================================================
return { success: targetMet, iterations: iteration, artifacts, // ... other outputs matching @outputs }; }
// ============================================================================ // TASK DEFINITIONS // ============================================================================
/** * Task: [Task Name] * Purpose: What this task accomplishes */ const someTask = defineTask({ name: 'task-name', description: 'What this task does',
// Task definition - executed externally by orchestrator // This returns a TaskDef that describes HOW to run the task
inputs: { inputName: { type: 'string', required: true }, optionalInput: { type: 'number', default: 10 } },
outputs: { result: { type: 'object' }, artifacts: { type: 'array' } },
async run(inputs, taskCtx) { const effectId = taskCtx.effectId;
return { kind: 'node', // or 'agent', 'skill', 'shell', 'breakpoint' title: `Task: ${inputs.inputName}`, node: { entry: 'scripts/task-runner.js', args: ['--input', inputs.inputName, '--effect-id', effectId] }, io: { inputJsonPath: `tasks/${effectId}/input.json`, outputJsonPath: `tasks/${effectId}/result.json` }, labels: ['category', 'subcategory'] }; } }); ```
---
## SDK Context API Reference
The `ctx` object provides these intrinsics:
| Method | Purpose | Behavior | |--------|---------|----------| | `ctx.task(taskDef, args, opts?)` | Execute a task | Returns result or throws typed exception | | `ctx.breakpoint(payload)` | Human approval gate | Pauses until approved via human | | `ctx.sleepUntil(isoOrEpochMs)` | Time-based gate | Pauses until specified time | | `ctx.parallel.all([...thunks])` | Parallel execution | Runs independent tasks concurrently | | `ctx.parallel.map(items, fn)` | Parallel map | Maps items through task function | | `ctx.now()` | Deterministic time | Returns current Date (or provided time) | | `ctx.log?.(level, msg, data?)` | Logging | Optional logging helper | | `ctx.runId` | Run identifier | Current run's unique ID |
### Task Kinds
| Kind | Use Case | Executor | |------|----------|----------| | `node` | Scripts, builds, tests | Node.js process | | `agent` | LLM-powered analysis, generation | Claude Code agent | | `skill` | Claude Code skills | Skill invocation | | `shell` | System commands | Shell execution | | `breakpoint` | Human approval | Breakpoints UI/service | | `sleep` | Time gates | Orchestrator scheduling | | `orchestrator_task` | Internal orchestrator work | Self-routed |
---
## Breakpoint Patterns
### Basic Approval Gate
```javascript await ctx.breakpoint({ question: 'Approve to continue?', title: 'Checkpoint', context: { runId: ctx.runId } }); ```
### With File References (for UI display)
```javascript await ctx.breakpoint({ question: 'Review the generated specification. Does it meet requirements?', title: 'Specification Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' }, { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' }, { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' } ] } }); ```
### Conditional Breakpoint
```javascript if (qualityScore < targetScore) { await ctx.breakpoint({ question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`, title: 'Quality Gate', context: { runId: ctx.runId, data: { qualityScore, targetScore, iteration } } }); } ```
---
## Common Patterns
### Quality Convergence Loop
```javascript let quality = 0; let iteration = 0; const targetQuality = inputs.targetQuality || 85; const maxIterations = inputs.maxIterations || 10;
while (quality < targetQuality && iteration < maxIterations) { iteration++; ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);
// Execute improvement tasks const improvement = await ctx.task(improveTask, { iteration });
// Score quality (parallel checks) const [coverage, lint, security, tests] = await ctx.parallel.all([ () => ctx.task(coverageTask, {}), () => ctx.task(lintTask, {}), () => ctx.task(securityTask, {}), () => ctx.task(runTestsTask, {}) ]);
// Agent scores overall quality const score = await ctx.task(agentScoringTask, { coverage, lint, security, tests, iteration });
quality = score.overall; ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);
if (quality >= targetQuality) { ctx.log?.('info', 'Quality target achieved!'); break; } }
return { success: quality >= targetQuality, quality, iterations: iteration }; ```
### Phased Workflow with Reviews
```javascript // Phase 1: Research const research = await ctx.task(researchTask, { topic: inputs.topic });
await ctx.breakpoint({ question: 'Review research findings before proceeding to planning.', title: 'Research Review', context: { runId: ctx.runId } });
// Phase 2: Planning const plan = await ctx.task(planningTask, { research });
await ctx.breakpoint({ question: 'Review plan before implementation.', title: 'Plan Review', context: { runId: ctx.runId } });
// Phase 3: Implementation const implementation = await ctx.task(implementTask, { plan });
// Phase 4: Verification const verification = await ctx.task(verifyTask, { implementation, plan });
await ctx.breakpoint({ question: 'Final review before completion.', title: 'Final Approval', context: { runId: ctx.runId } });
return { success: verification.passed, plan, implementation }; ```
### Parallel Fan-out with Aggregation
```javascript // Fan out to multiple parallel analyses const analyses = await ctx.parallel.map(components, component => ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` }) );
// Aggregate results const aggregated = await ctx.task(aggregateTask, { analyses });
return { analyses, summary: aggregated.summary }; ```
---
## Testing Processes
### CLI Commands
```bash # Create a new run babysitter run:create \ --process-id methodologies/my-process \ --entry ./library/methodologies/my-process.js#process \ --inputs ./test-inputs.json \ --json
# Iterate the run babysitter run:iterate .a5c/runs/<runId> --json
# List pending tasks babysitter task:list .a5c/runs/<runId> --pending --json
# Post a task result babysitter task:post .a5c/runs/<runId> <effectId> \ --status ok \ --value ./result.json
# Check run status babysitter ru
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A practical pick for source-backed research: process-builder: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phas... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x
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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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Install the "process-builder" agent skill from https://github.com/a5c-ai/babysitter/tree/main/.claude/skills/process-builder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"a5c-ai-process-builder","task":"Install process-builder","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Task: Use process-builder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20process-builder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/a5c-ai-process-builder/install
Install command: npx skills add a5c-ai/babysitter --skill process-builder
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Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: process-builder description: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation. ---
# Process Builder
Create new process definitions for the babysitter event-sourced orchestration framework.
## Quick Reference
``` Processes live in: library/ ├── methodologies/ # Reusable development approaches (TDD, BDD, Scrum, etc.) │ └── [name]/ │ ├── README.md # Documentation │ ├── [name].js # Main process │ └── examples/ # Sample inputs │ └── specializations/ # Domain-specific processes ├── [category]/ # Engineering specializations (direct children) │ └── [process].js └── domains/ └── [domain]/ # Business, Science, Social Sciences └── [spec]/ ├── README.md ├── references.md ├── processes-backlog.md └── [process].js ```
## 3-Phase Workflow
### Phase 1: Research & Documentation
Create foundational documentation:
```bash # Check existing specializations ls library/specializations/
# Check methodologies ls library/methodologies/ ```
**Create:** - `README.md` - Overview, roles, goals, use cases, common flows - `references.md` - External references, best practices, links to sources
### Phase 2: Identify Processes
Create `processes-backlog.md` with identified processes:
```markdown # Processes Backlog - [Specialization Name]
## Identified Processes
- [ ] **process-name** - Short description of what this process accomplishes - Reference: [Link to methodology or standard] - Inputs: list key inputs - Outputs: list key outputs
- [ ] **another-process** - Description ... ```
### Phase 3: Create Process Files
Create `.js` process files following SDK patterns (see below).
---
## Process File Structure
Every process file follows this pattern:
```javascript /** * @process [category]/[process-name] * @description Clear description of what the process accomplishes end-to-end * @inputs { inputName: type, optionalInput?: type } * @outputs { success: boolean, outputName: type, artifacts: array } * * @graph * domains: [domain:software-engineering] * skillAreas: [skill-area:your-skill-area] * topics: [topic:your-topic] * roles: [role:your-role] * workflows: [workflow:your-workflow] * * @example * const result = await orchestrate('[category]/[process-name]', { * inputName: 'value', * optionalInput: 'optional-value' * }); * * @references * - Book: "Relevant Book Title" by Author * - Article: [Title](https://link) * - Standard: ISO/IEEE reference */
import { defineTask } from '@a5c-ai/babysitter-sdk';
/** * [Process Name] Process * * Methodology: Brief description of the approach * * Phases: * 1. Phase Name - What happens * 2. Phase Name - What happens * ... * * Benefits: * - Benefit 1 * - Benefit 2 * * @param {Object} inputs - Process inputs * @param {string} inputs.inputName - Description of input * @param {Object} ctx - Process context (see SDK) * @returns {Promise<Object>} Process result */ export async function process(inputs, ctx) { const { inputName, optionalInput = 'default-value', // ... destructure with defaults } = inputs;
const artifacts = [];
// ============================================================================ // PHASE 1: [PHASE NAME] // ============================================================================
ctx.log?.('info', 'Starting Phase 1...');
const phase1Result = await ctx.task(someTask, { // task inputs });
artifacts.push(...(phase1Result.artifacts || []));
// Breakpoint for human review (when needed) await ctx.breakpoint({ question: 'Review the results and approve to continue?', title: 'Phase 1 Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/output.md', format: 'markdown', label: 'Output' } ] } });
// ============================================================================ // PHASE 2: [PHASE NAME] - Parallel Execution Example // ============================================================================
const [result1, result2, result3] = await ctx.parallel.all([ () => ctx.task(task1, { /* args */ }), () => ctx.task(task2, { /* args */ }), () => ctx.task(task3, { /* args */ }) ]);
// ============================================================================ // PHASE 3: [ITERATION EXAMPLE] // ============================================================================
let iteration = 0; let targetMet = false;
while (!targetMet && iteration < maxIterations) { iteration++;
const iterResult = await ctx.task(iterativeTask, { iteration, previousResults: /* ... */ });
targetMet = iterResult.meetsTarget;
if (!targetMet && iteration % 3 === 0) { // Periodic checkpoint await ctx.breakpoint({ question: `Iteration ${iteration}: Target not met. Continue?`, title: 'Progress Checkpoint', context: { /* ... */ } }); } }
// ============================================================================ // COMPLETION // ============================================================================
return { success: targetMet, iterations: iteration, artifacts, // ... other outputs matching @outputs }; }
// ============================================================================ // TASK DEFINITIONS // ============================================================================
/** * Task: [Task Name] * Purpose: What this task accomplishes */ const someTask = defineTask({ name: 'task-name', description: 'What this task does',
// Task definition - executed externally by orchestrator // This returns a TaskDef that describes HOW to run the task
inputs: { inputName: { type: 'string', required: true }, optionalInput: { type: 'number', default: 10 } },
outputs: { result: { type: 'object' }, artifacts: { type: 'array' } },
async run(inputs, taskCtx) { const effectId = taskCtx.effectId;
return { kind: 'node', // or 'agent', 'skill', 'shell', 'breakpoint' title: `Task: ${inputs.inputName}`, node: { entry: 'scripts/task-runner.js', args: ['--input', inputs.inputName, '--effect-id', effectId] }, io: { inputJsonPath: `tasks/${effectId}/input.json`, outputJsonPath: `tasks/${effectId}/result.json` }, labels: ['category', 'subcategory'] }; } }); ```
---
## SDK Context API Reference
The `ctx` object provides these intrinsics:
| Method | Purpose | Behavior | |--------|---------|----------| | `ctx.task(taskDef, args, opts?)` | Execute a task | Returns result or throws typed exception | | `ctx.breakpoint(payload)` | Human approval gate | Pauses until approved via human | | `ctx.sleepUntil(isoOrEpochMs)` | Time-based gate | Pauses until specified time | | `ctx.parallel.all([...thunks])` | Parallel execution | Runs independent tasks concurrently | | `ctx.parallel.map(items, fn)` | Parallel map | Maps items through task function | | `ctx.now()` | Deterministic time | Returns current Date (or provided time) | | `ctx.log?.(level, msg, data?)` | Logging | Optional logging helper | | `ctx.runId` | Run identifier | Current run's unique ID |
### Task Kinds
| Kind | Use Case | Executor | |------|----------|----------| | `node` | Scripts, builds, tests | Node.js process | | `agent` | LLM-powered analysis, generation | Claude Code agent | | `skill` | Claude Code skills | Skill invocation | | `shell` | System commands | Shell execution | | `breakpoint` | Human approval | Breakpoints UI/service | | `sleep` | Time gates | Orchestrator scheduling | | `orchestrator_task` | Internal orchestrator work | Self-routed |
---
## Breakpoint Patterns
### Basic Approval Gate
```javascript await ctx.breakpoint({ question: 'Approve to continue?', title: 'Checkpoint', context: { runId: ctx.runId } }); ```
### With File References (for UI display)
```javascript await ctx.breakpoint({ question: 'Review the generated specification. Does it meet requirements?', title: 'Specification Review', context: { runId: ctx.runId, files: [ { path: 'artifacts/spec.md', format: 'markdown', label: 'Specification' }, { path: 'artifacts/spec.json', format: 'json', label: 'JSON Schema' }, { path: 'src/implementation.ts', format: 'code', language: 'typescript', label: 'Implementation' } ] } }); ```
### Conditional Breakpoint
```javascript if (qualityScore < targetScore) { await ctx.breakpoint({ question: `Quality score ${qualityScore} is below target ${targetScore}. Continue iterating or accept current result?`, title: 'Quality Gate', context: { runId: ctx.runId, data: { qualityScore, targetScore, iteration } } }); } ```
---
## Common Patterns
### Quality Convergence Loop
```javascript let quality = 0; let iteration = 0; const targetQuality = inputs.targetQuality || 85; const maxIterations = inputs.maxIterations || 10;
while (quality < targetQuality && iteration < maxIterations) { iteration++; ctx.log?.('info', `Iteration ${iteration}/${maxIterations}`);
// Execute improvement tasks const improvement = await ctx.task(improveTask, { iteration });
// Score quality (parallel checks) const [coverage, lint, security, tests] = await ctx.parallel.all([ () => ctx.task(coverageTask, {}), () => ctx.task(lintTask, {}), () => ctx.task(securityTask, {}), () => ctx.task(runTestsTask, {}) ]);
// Agent scores overall quality const score = await ctx.task(agentScoringTask, { coverage, lint, security, tests, iteration });
quality = score.overall; ctx.log?.('info', `Quality: ${quality}/${targetQuality}`);
if (quality >= targetQuality) { ctx.log?.('info', 'Quality target achieved!'); break; } }
return { success: quality >= targetQuality, quality, iterations: iteration }; ```
### Phased Workflow with Reviews
```javascript // Phase 1: Research const research = await ctx.task(researchTask, { topic: inputs.topic });
await ctx.breakpoint({ question: 'Review research findings before proceeding to planning.', title: 'Research Review', context: { runId: ctx.runId } });
// Phase 2: Planning const plan = await ctx.task(planningTask, { research });
await ctx.breakpoint({ question: 'Review plan before implementation.', title: 'Plan Review', context: { runId: ctx.runId } });
// Phase 3: Implementation const implementation = await ctx.task(implementTask, { plan });
// Phase 4: Verification const verification = await ctx.task(verifyTask, { implementation, plan });
await ctx.breakpoint({ question: 'Final review before completion.', title: 'Final Approval', context: { runId: ctx.runId } });
return { success: verification.passed, plan, implementation }; ```
### Parallel Fan-out with Aggregation
```javascript // Fan out to multiple parallel analyses const analyses = await ctx.parallel.map(components, component => ctx.task(analyzeTask, { component }, { label: `analyze:${component.name}` }) );
// Aggregate results const aggregated = await ctx.task(aggregateTask, { analyses });
return { analyses, summary: aggregated.summary }; ```
---
## Testing Processes
### CLI Commands
```bash # Create a new run babysitter run:create \ --process-id methodologies/my-process \ --entry ./library/methodologies/my-process.js#process \ --inputs ./test-inputs.json \ --json
# Iterate the run babysitter run:iterate .a5c/runs/<runId> --json
# List pending tasks babysitter task:list .a5c/runs/<runId> --pending --json
# Post a task result babysitter task:post .a5c/runs/<runId> <effectId> \ --status ok \ --value ./result.json
# Check run status babysitter ru
Source provenance
Decision snapshot
1,759 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for process-builder, ready for a manual X post.
A practical pick for source-backed research: process-builder: Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phas... 1.8K stars https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x
Listing + install path for process-builder: https://www.openagentskill.com/skills/a5c-ai-process-builder?ref=x Install: npx skills add a5c-ai/babysitter --skill process-builder
Listing source
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Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness